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Details of Grant 

EPSRC Reference: GR/T04557/01
Title: Application-based Text-to-Text Generation
Principal Investigator: Lapata, Professor M
Other Investigators:
Researcher Co-Investigators:
Project Partners:
Massachusetts Institute of Technology University of Southern California
Department: Sch of Informatics
Organisation: University of Edinburgh
Scheme: Standard Research (Pre-FEC)
Starts: 31 March 2006 Ends: 29 June 2009 Value (£): 168,373
EPSRC Research Topic Classifications:
Comput./Corpus Linguistics Information & Knowledge Mgmt
EPSRC Industrial Sector Classifications:
Creative Industries
Related Grants:
Panel History:
Panel DatePanel NameOutcome
19 Apr 2004 ICT Fellowships 2004 - ARF Interview Panel Deferred
18 Mar 2004 ICT Fellowships 2004 Sift Panel Deferred
Summary on Grant Application Form
An emerging area of research in the field of Natural Language Processing (NLP) is text-to-text generation. Text-to-text generation takes naturally occurring texts as input and transforms them into new texts satisfying constraints such as length or style. Examples of applications that require text-totext generation are single- and multidocument summarization, text simplification, sentence compression, and question answering. At the heart of methods developed for text-to-text generation lies the ability to identify and generate paraphrases, i.e., alternative ways to convey the same information either at the sentence or at the document level.The aim of this grant is to create algorithms and software for the collection of corpora appropriate for studying meaning equivalences and to develop and evaluate a summarisation system that incorporates models for identifying and generating paraphrases at the sentence and document level. The application is particularly suited for studying text-rewriting as it involves the extraction, potentially regeneration and ordering of information across multiple information sources.
Key Findings
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Summary
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Organisation Website: http://www.ed.ac.uk